posted by organizer: alexakos || 2655 views || tracked by 9 users: [display]

MT4BD 2016 : 3nd Workshop on New Methods and Tools for Big Data


When Sep 16, 2016 - Sep 18, 2016
Where Thessaloniki, Greece
Submission Deadline May 7, 2016
Notification Due Jun 8, 2016
Final Version Due Jun 15, 2016
Categories    big data   artificial intelligence   cloud computing   computer science

Call For Papers

(Apologies for multiple postings)

Due to increase demand, the deadline for regular papers submission
has been extended till May 7th, 2016

MT4BD 2016 Call For Papers
3rd Workshop on New Methods and Tools for Big Data (MT4BD-2016)
16-18 September 2016, Thessaloniki - Greece

We would like to cordially invite you to consider contributing a paper to the
3rd Workshop on "New Methods and Tools for Big Data (MT4BD-20165)" - held as a
part of the 12th International Conference on Artificial Intelligence Applications
and Innovations (AIAI 2016)

The provision of large amount of data from various sources (Internet, Social Media,
Application Logs, Data Warehouses, Sensors, Mobiles, Open Data, etc.) is now emerging
into the collection and processing of "Big Data". While Big Data notion is adopted by
both academic and enterprise communities, there is currently a wide gap between its
potential and its realization. Variety, velocity, scale, complexity, interpretation
and security problems with Big Data raise challenges at all phases of the pipeline
that can extract information and knowledge from it. Thus, there is a natural interest
in using these data assets to improve a variety of applications. It is very interesting
to explore how researchers utilize data-driven strategies and discover what disciplines
will change because of the advent of data. With the vast amount of data now available,
modern businesses are facing the challenges of storage, management, analysis, privacy,
visualization, security and data integration.

The aim of this workshop is to serve as an interdisciplinary forum for bringing together
specialists from the scientific areas of Computer Engineering, Bioinformatics-Personalized
Medicine, Finance and Operational Research. The focus of this workshop is on current
technological advances and challenges about the development of big data-driven algorithms
and methods and tools. Furthermore, it would be very interesting to investigate if the use
of a vast amount of data leads to more accurate models or not.

Following the success of the previous two MT4BD (MT4BD2014 and MT4BD2015)
aims to further promote the formation of a community around the topic and
gather an increased number of researchers and practitioners.

Topics of interest include, but are not limited to, the following new techniques
and applications relevant to the big data topic:

- Big Data Analytics;
Business intelligence and analytics;
Interactive Visualization Technologies and Visual Analytics;
Knowledge representation and reasoning;
Data mining;
Human Collaboration (crowdsourcing)
- Tools and Applications:
Smart Health and Wellbeing;
Smart Cities;
Ontologies for Big Data;
Sensors Networks;
Industrial Automation;
Systems Biology and Bioinformatics;
Network-based and Personalized Medicine;
Financial Forecasting and Trading;
- Big Data Architectures and Frameworks
Cloud computing;
Grid computing;
Large-scale triple stores;
Reasoning over streaming data;
Data storage and processing frameworks;
Security and privacy;

Authors are invited to submit original, English-language research contributions or experience
reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS
Springer style ( and in PDF format. All papers should be submitted
through EasyChair at

Submitted papers will be refereed by at least three reviewers for quality, correctness, originality,
and relevance. Notification and reviews will be communicated via email. Accepted papers will be
presented at the conference and included in the proceedings, which will be published by SPRINGER
in the IFIP AICT Lecture Notes in Computer Science

Paper submission: May 7th,2016
Author notification: June 8th,2016
Camera-ready submission: June 8th,2016
Early registration deadline: June 20th, 2016
Authors Registration deadline*: June 14th, 2016
Conference Dates: September 16th-18th, 2016
* Papers without confirmed registration by June 14th, 2016 risk their inclusion in the proceedings.

Professor Spiros Likothanassis, University of Patras, GR, email:
Dr. Dimitris Tzovaras, Director, Researcher A, CERTH/ITI, GR, email:

PROGRAM COMMITEE (confirmed so far)
Kalnis Panos, King Abdullah University of Science and Technology, SA
Mavroudi Seferina, Technological Institute of Patras, GR
Megaloikonomou Vasileios, University of Patras, GR
Georgopoulos Efstratios, Technological Institute of Kalamata, GR
Votis Konstantinos, CERTH/ITI, GR
Koutsomitropoulos Dimitrios, University of Patras, GR
Theofilatos Konstantinos, InSyBio Ltd, UK
Alexakos Christos, University of Patras, GR

Related Resources

MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ICML 2017   34th International Conference on Machine Learning
UP 2017   Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies
IJCAI 2017   International Joint Conference on Artificial Intelligence
Elsevier JOCS NCP&BD 2017   Elsevier Journal of Computational Science (SCI IF=1.078) Special Issue on The Convergence of New Computing Paradigms and Big Data Analytics Methodologies for Online Social Networks
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
Big Data- ADDS 2017   Special Issue on Big Data Analytics & Data-Driven Science
IJE 2016   International Journal of Education